




'''simple docstring'''







import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
    from PIL import Image

    from transformers import AutoProcessor, BlipaProcessor, BlipImageProcessor, GPTaTokenizer, PreTrainedTokenizerFast

@require_vision
class 	_snake_case(			unittest.TestCase      ):






 def 						_UpperCamelCase (self       :  Tuple    )       ->   Tuple:






    """simple docstring"""


    A__       =     tempfile.mkdtemp()

    A__       =     BlipImageProcessor()
    A__       =     GPTaTokenizer.from_pretrained('hf-internal-testing/tiny-random-GPT2Model'    )

    A__       =     BlipaProcessor(a    ,		a    )

    processor.save_pretrained(self.tmpdirname    )






 def 						_UpperCamelCase (self       :  int    ,		**a       :  str    )       ->   Tuple:






    """simple docstring"""


    return AutoProcessor.from_pretrained(self.tmpdirname    ,		**a    ).tokenizer






 def 						_UpperCamelCase (self       :  List[str]    ,		**a       :  Any    )       ->   int:






    """simple docstring"""


    return AutoProcessor.from_pretrained(self.tmpdirname    ,		**a    ).image_processor






 def 						_UpperCamelCase (self       :  Union[str, Any]    )       ->   Tuple:






    """simple docstring"""


    shutil.rmtree(self.tmpdirname    )






 def 						_UpperCamelCase (self       :  Any    )       ->   List[Any]:






    """simple docstring"""


    A__       =     [np.random.randint(2_55    ,		size=(3, 30, 4_00)    ,		dtype=np.uinta    )]

    A__       =     [Image.fromarray(np.moveaxis(a    ,		0    ,		-1    )    ) for x in image_inputs]

    return image_inputs






 def 						_UpperCamelCase (self       :  List[str]    )       ->   Optional[Any]:






    """simple docstring"""


    A__       =     BlipaProcessor(tokenizer=self.get_tokenizer()    ,		image_processor=self.get_image_processor()    )
    processor.save_pretrained(self.tmpdirname    )

    A__       =     self.get_tokenizer(bos_token='(BOS)'    ,		eos_token='(EOS)'    )
    A__       =     self.get_image_processor(do_normalize=a    ,		padding_value=1.0    )

    A__       =     BlipaProcessor.from_pretrained(
        self.tmpdirname    ,		bos_token='(BOS)'    ,		eos_token='(EOS)'    ,		do_normalize=a    ,		padding_value=1.0    )

    self.assertEqual(processor.tokenizer.get_vocab()    ,		tokenizer_add_kwargs.get_vocab()    )
    self.assertIsInstance(processor.tokenizer    ,		a    )

    self.assertEqual(processor.image_processor.to_json_string()    ,		image_processor_add_kwargs.to_json_string()    )
    self.assertIsInstance(processor.image_processor    ,		a    )






 def 						_UpperCamelCase (self       :  str    )       ->   Dict:






    """simple docstring"""


    A__       =     self.get_image_processor()
    A__       =     self.get_tokenizer()

    A__       =     BlipaProcessor(tokenizer=a    ,		image_processor=a    )

    A__       =     self.prepare_image_inputs()

    A__       =     image_processor(a    ,		return_tensors='np'    )
    A__       =     processor(images=a    ,		return_tensors='np'    )

    for key in input_feat_extract.keys():
       self.assertAlmostEqual(input_feat_extract[key].sum()    ,		input_processor[key].sum()    ,		delta=1e-2    )






 def 						_UpperCamelCase (self       :  Union[str, Any]    )       ->   Optional[int]:






    """simple docstring"""


    A__       =     self.get_image_processor()
    A__       =     self.get_tokenizer()

    A__       =     BlipaProcessor(tokenizer=a    ,		image_processor=a    )

    A__       =     'lower newer'

    A__       =     processor(text=a    )

    A__       =     tokenizer(a    ,		return_token_type_ids=a    )

    for key in encoded_tok.keys():
       self.assertListEqual(encoded_tok[key]    ,		encoded_processor[key]    )






 def 						_UpperCamelCase (self       :  Optional[Any]    )       ->   Optional[int]:






    """simple docstring"""


    A__       =     self.get_image_processor()
    A__       =     self.get_tokenizer()

    A__       =     BlipaProcessor(tokenizer=a    ,		image_processor=a    )

    A__       =     'lower newer'
    A__       =     self.prepare_image_inputs()

    A__       =     processor(text=a    ,		images=a    )

    self.assertListEqual(list(inputs.keys()    )    ,		['pixel_values', 'input_ids', 'attention_mask']    )

    # test if it raises when no input is passed
    with pytest.raises(a    ):
       processor()






 def 						_UpperCamelCase (self       :  Optional[int]    )       ->   Tuple:






    """simple docstring"""


    A__       =     self.get_image_processor()
    A__       =     self.get_tokenizer()

    A__       =     BlipaProcessor(tokenizer=a    ,		image_processor=a    )

    A__       =     [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

    A__       =     processor.batch_decode(a    )
    A__       =     tokenizer.batch_decode(a    )

    self.assertListEqual(a    ,		a    )






 def 						_UpperCamelCase (self       :  Dict    )       ->   str:






    """simple docstring"""


    A__       =     self.get_image_processor()
    A__       =     self.get_tokenizer()

    A__       =     BlipaProcessor(tokenizer=a    ,		image_processor=a    )

    A__       =     'lower newer'
    A__       =     self.prepare_image_inputs()

    A__       =     processor(text=a    ,		images=a    )

    # For now the processor supports only ['pixel_values', 'input_ids', 'attention_mask']
    self.assertListEqual(list(inputs.keys()    )    ,		['pixel_values', 'input_ids', 'attention_mask']    )








'''simple docstring'''







import socket







def 						_A      ( ):






   '''simple docstring'''







   A__       =     socket.socket(socket.AF_INET      ,socket.SOCK_STREAM						)
   A__       =     socket.gethostname()
   A__       =     12312

   sock.connect((host, port)						)
   sock.send(B'Hello server!'						)

   with open('Received_file'      ,'wb'						) as out_file:
      print('File opened'						)
      print('Receiving data...'						)
      while True:
         A__       =     sock.recv(1024						)
         if not data:
            break
         out_file.write(UpperCAmelCase						)

   print('Successfully received the file'						)
   sock.close()
   print('Connection closed'						)


if __name__ == "__main__":
    main()


